Inspenet, June 20, 2023
The evolution is also reflected in energy matters. Artificial Intelligence and cloud data storage tools are becoming increasingly important.
Smart Energy: How can the energy industry harness the power of machine learning to address today’s challenges?
Terms like “net zero” and “energy transition” are known and understood by more and more people. For its part, conversations about goals like “zero carbon emissions by 2030” seem to be everywhere, both in climate change debates and in corporate discussions.
As companies look to scale their operations and make them more profitable and sustainable, the implementation of AI becomes increasingly valuable. The convergence of AI and energy offers a unique opportunity for companies to better manage their operations on the challenging path to achieving net-zero goals.
By incorporating machine learning, you not only improve productivity and free up resources for the transition to more sustainable energy sources, but also contribute directly to reducing environmental impact through the expansion of renewable energy and the integration of Cloud Computing. Furthermore, the use of AI can improve the traceability of supply chains and increase transparency in governance.
Data storage: More and more clouds are becoming sustainable
Despite the criticism the oil and gas industry has received, it remains vital in the debate on climate change and energy security in general. According to research by the International Data Corporation, the adoption of cloud computing in large data centers has the potential to reduce carbon dioxide emissions by at least a billion metric tons or more.
By migrating to cloud computing, companies in the oil and gas sector can not only reduce costs, but also scale more efficiently while lowering their emissions.
NetApp, a company specializing in data management solutions, has excelled in the field of cloud computing to mitigate power consumption and improve industry efficiency. This leading cloud computing company helps energy companies manage large volumes of data to improve decision making, accelerate data analysis for 3D modeling, exploration, seismic processing and rendering.
According to Matt Watts, Chief Technology Evangelist at NetApp, by selecting a cloud service provider that puts sustainability first, companies can make big strides in their green efforts and demonstrate their commitment to a more sustainable future. Watts highlights that ways to reduce emissions in the sector include centralizing data storage, reducing reliance on local data centers, and leveraging real-time analytics through cloud solutions. These measures allow companies in the sector to optimize their operations, reduce downtime and make decisions based on data that improve their overall performance.
The adoption of cloud computing is just one of the many ways the energy industry can transform its landscape through AI. Another key area is the implementation of AI-powered Virtual Power Plants (VPPs).
With the increasing use of solar energy, wind turbines and other renewable sources, the need for an innovative strategy for energy management arises. Traditional systems, designed for one-way power distribution and centralized production, are no longer adequate to handle bi-directional power flows and meet the changing demands of society. This is where Virtual Power Plants, using AI and machine learning capabilities, become indispensable.
Honeywell, a leading company in the field of VPPs, has developed the Experion Energy power control system. This system uses advanced analytics and machine learning algorithms to analyze data and detect opportunities for improvement in energy efficiency.
Prudence Hoffman, Director of Energy Storage Solutions at Honeywell, notes that Honeywell VPPs optimize the aggregation of distributed energy resources over wide areas through digitization and efficient deployment of network assets. These technologies allow energy resource owners to make the most of all available renewable sources and contribute to the global energy transition.
Additionally, as renewable energy, such as solar, becomes more popular due to increasing sustainability goals, remote management solutions, such as those offered by Honeywell, allow users to have autonomous control over when to purchase and deploy. energy reserves, regardless of weather conditions.
Ultimately, the adoption of next-generation technologies, powered by AI, is critical to driving a green and sustainable future in the energy sector. Companies like Schneider Electric are developing and integrating electrification solutions that combine automation and an integrated supply chain. By using advanced technology, such as EcoStruxure™ Automation Expert. Schneider Electric seeks to reduce waste in industrial processes and achieve greater efficiency at all levels, from the workshop to management.
Nathalie Marcotte, President of Process Automation at Schneider Electric, points out that adopting an open automation architecture, such as that offered by EcoStruxure™ Automation Expert, allows you to create an agile, simple and future-proof industrial system.
Source: https://energydigital.com/
Photos: Bing
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